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Symposium

Pattie Maes, PhD - Opportunities for AI and Wearables to Support Healthy Aging

Pattie Maes, PhD, Germeshausen Professor of Media Arts and Sciences at the MIT Media Lab, delivered a compelling keynote at the 3rd a2 National Symposium, held April 3–4, 2025, at the Harvard Club of Boston. Introduced by George Demiris, PhD, who serves as the Penn Integrates Knowledge Mary Alice Bennett University Professor at

June 27, 2025
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Wearables
AI
Healthy Aging
Program Advances

AITC Program Advances: Remote Vitals Monitoring Enables Safer, More Independent Aging in Place

Issue 1 of the AI and Technology Collaboratories (AITC) for Aging Research Program Advances in Brief series features the work of a2 Pilot Awards–funded investigators developing technologies that can improve older adults’ access to crucial, clinically accurate health information through remote vitals monitoring.
May 7, 2025
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AI
Healthy Aging
Innovation
Machine Learning
Smartphone Hardware
Pilot Resources

What Matters Most — Aging, Technology and Artificial Intelligence

In "What Matters Most — Aging, Technology and Artificial Intelligence," Johns Hopkins geriatricians Jessica Colburn and David Hurwitz share their views on how technology and artificial intelligence could benefit older adults. They discuss what challenges related to health care technology might address, considerations...
May 30, 2024
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JH AITC

AI
Healthy Aging
Webinars

Large Language Models: Challenges and Opportunities

In the recent PennAITech webinar, "Large Language Models: Challenges and Opportunities," we were pleased to host Dr. Mayur Naik, a professor and graduate chair in the Department of Computer and Information Science at the University of Pennsylvania. Dr. Naik, who previously served at Georgia Tech and Intel Labs, shared...
May 15, 2024
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PennAITech

LLM
AI
Machine Learning
Data Science
Webinars

Facilitating and Studying the Use of Artificial Intelligence in Healthcare

Dr. Sean Mooney, an accomplished expert in biomedical informatics and medical education at the University of Washington, led a compelling discussion in the recent PennAITech webinar, "Facilitating and Studying the Use of Artificial Intelligence in Healthcare." As chief research information officer and a director at several...
May 15, 2024
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PennAITech

AI
Healthy Aging
Webinars

Best Practices for Safe & Effective AI and ML; Select Case Studies from Aging & Longevity Research

In the latest PennAITech webinar, sponsored by the National Institute on Aging, we were privileged to hear from Dr. Constantin Aliferis, a distinguished professor and director at the University of Minnesota, where he leads several major informatics initiatives. During his presentation...
May 15, 2024
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PennAITech

AI
Machine Learning
Heuristic AI
Webinars

Dr. Mark Dredze - The Opportunities and Challenges of Large Language Models in Medicine

In a recent webinar titled "The Opportunities and Challenges of Large Language Models in Medicine," Dr. Mark Dredze, John C. Malone Associate Professor in the Department of Computer Science at Johns Hopkins University and interim deputy director of the Johns Hopkins Data Science and AI Institute, shared his expert insights.
May 15, 2024
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JH AITC

Data Science
LLM
AI
Webinars

Dr. Phillip Phan and Dr. Suchi Saria – Navigating the AI Research-to-Startup Journey

Dr. Phillip Phan, the Alonso and Virginia Decker Professor of Strategy and Entrepreneurship at Johns Hopkins University, and Dr. Suchi Saria, John C. Malone Associate Professor in the Department of Computer Science at Johns Hopkins University, led a webinar on "Navigating the AI Research-to-Startup Journey."
May 14, 2024
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JH AITC

AI
startups
Webinars

Dr. Mathias Unberath and Dr. Alicia Arbaje – AI and Technology for Healthy Aging

Dr. Mathias Unberath, an assistant professor of computer science at Johns Hopkins University, and Dr. Alicia Arbaje, an associate professor of medicine at Johns Hopkins University, recently led a webinar titled "AI and Technology for Healthy Aging." Both co-directors of the JH AITC Technology Identification and Training Core...
May 14, 2024
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JH AITC

AI
Healthy Aging
Innovators

Dr. Ryan Urbanowicz Spotlight - Bridging AI and Biomedical Challenges

Meet Dr. Ryan Urbanowicz, Co-Lead of the Technology Identification and Training Core at PennAITech. In his day job, he serves as an Assistant Professor of Computational Biology at Cedars Sinai Medical Center and holds an adjunct position...
September 23, 2023
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PennAITech

Machine Learning
Software
Data Science
AI
Symposium

Dr. Elizabeth Mynatt Keynote – Inspiring a New Generation of Innovators for an Aging Population

Dr. Elizabeth Mynatt, dean of Khoury College of Computer Sciences at Northeastern University and a recognized expert in ubiquitous computing and assistive technologies, recently gave a keynote speech aimed at inspiring new innovators in the field of aging care at the 2023 a2 National Symposium. Dr. Mynatt...
September 1, 2023
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MassAITC

Tech Acceptance
Heuristic AI
Healthy Aging
AI
Cognition
Webinars

Dr. Kate Papp Webinar – Digital Cognitive Assessments in Preclinical Alzheimer’s Disease

Dr. Kate Papp, an assistant professor in neurology at Harvard Medical School, specializes in the neuropsychological aspects of aging and Alzheimer's disease. In her recent webinar, Dr. Papp delved into the challenges of conducting digital cognitive assessments in preclinical stages of Alzheimer's. She critiqued...
September 1, 2023
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MassAITC

ADRD
Machine Learning
Treatment And Care
AI
Cognition
Webinars

Dr. Jina Huh-Yoo Webinar – AI Systems for Caregiving and Emotional Work

Dr. Jina Huh-Yoo, an assistant professor specializing in human-computer interaction at Drexel's College of Computing & Informatics, delves into the use of artificial intelligence (AI) systems in the caregiving landscape, particularly focusing on emotional work in the context of Alzheimer's disease and related...
September 1, 2023
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PennAITech

AI
Affective Computing
Social Emotional
Caregivers
Webinars

Dr. Rama Chellappa Webinar – Design of Adaptive Fair and Robust AI Systems

Dr. Rama Chellappa, a Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering at Johns Hopkins, recently presented on the topic of designing adaptive fair and robust AI systems. Known for his pioneering work in artificial intelligence, Dr. Chellappa touched upon...
September 1, 2023
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JH AITC

AI
Computer Vision
Decision Support
Machine Learning